Gupshup, the Cupertino-based conversational AI startup, announced on July 23 that it has raised over $60 million through a funding round that includes both equity and debt financing from Globespan Capital Partners and EvolutionX Debt Capital.
The funds will be allocated towards the expansion of its conversational AI and messaging platform, as well as to accelerate market execution in high-growth areas such as India, the Middle East, Latin America, and Africa, according to the press release.
This investment underscores Gupshup's status as a market leader in facilitating customer engagement through conversational AI experiences delivered via text and voice messaging. The company says that it serves over 50,000 clients across 130 countries and has been acknowledged by industry analysts such as Gartner, IDC, and Juniper for its AI capabilities in Conversational AI.
According to the startup, the investment will be strategically utilised to boost sales efficiency, foster product innovation, and enhance market presence across critical sectors worldwide.
"We're at an inflexion point where AI Agents are transitioning from experimental technology to business-critical infrastructure, leading to extraordinary global demand for our solutions. Businesses recognise that conversational AI is driving enormous competitive advantages through superior customer experiences," said Beerud Sheth, founder and CEO of Gupshup.
Gupshup's platform helps businesses automate complex customer interactions with personalised, human-like conversations. Some of its offerings include Conversational AI agents, click-to-chat ads, an AI campaign copilot, and campaign management, allowing companies to manage product exploration, purchases, and customer support, transitioning from traditional chatbots to autonomous agents.
The company claims that its platform facilitates over 120 billion messages annually for thousands of businesses, equipped with sophisticated AI capabilities that make it a comprehensive solution for those aiming to deploy conversational engagement at scale.
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